2015
DOI: 10.1088/0957-0233/26/11/115502
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Blind deconvolution using the similarity of multiscales regularization for infrared spectrum

Abstract: Band overlap and random noise exist widely when the spectra are captured using an infrared spectrometer, especially since the aging of instruments has become a serious problem. In this paper, via introducing the similarity of multiscales, a blind spectral deconvolution method is proposed. Considering that there is a similarity between latent spectra at different scales, it is used as prior knowledge to constrain the estimated latent spectrum similar to pre-scale to reduce artifacts which are produced from deco… Show more

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Cited by 11 publications
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References 26 publications
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